Features of the Communication Process Between Humans and Neural Networks
Artificial intelligence technologies are increasingly permeating the modern world, and neural networks play a key role in this process. Their ability to perform machine learning and process large amounts of data opens up new horizons in many areas of human activity. However, despite the rapid development of this field, the issue of high-quality communication between humans and neural networks remains relevant and insufficiently studied. This paper is devoted to the study of communication between humans and neural networks in the context of their growing integration into various spheres of society. According to the results of the study, the peculiarities of communication between humans and neural networks were revealed. The results of the study demonstrate clear differences between the initial requests to neural networks and the final interpretation of their responses by users. Based on the collected data, the authors identified the key features of communication between humans and neural networks.
Authors
- Yuri Golovin
- Egor Grebenko (ORCID: https://orcid.org/0000-0001-9978-077X)
- Alexander Sokolov (ORCID: https://orcid.org/0000-0002-7325-8374)
Institutions
- North-Eastern Federal University (RU)
- Yaroslavl State University (RU)
Publication Details
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1109/comsds65569.2025.10971331
- Primary Topic
- Scientific Research and Philosophical Inquiry
- Type
- article
- Field-Weighted Citation Impact
- 0.00